Название: Artificial Intelligence and Systems of the Earth
Автор: Michel Speiser
Издательство: CRC Press
Год: 2024
Страниц: 114
Язык: английский
Формат: pdf (true), epub
Размер: 64.2 MB

Artificial Intelligence and Systems of the Earth is a book about the potential and capabilities of Artificial Intelligence (AI) and Machine Learning (ML) for studying the Earth. It aims to serve as an eye-opener on new avenues of scientific research that can be enabled by AI/ML. This is not meant to be a ‘how to’ book but is written to answer the question ‘what if’. It explains how these tools are currently being applied, and the new opportunities they have opened. Through many examples and application ideas from outside the Earth Sciences, the book discusses some of the most prevalent types of AI in current use, the future of AI hardware, and how AI/ML bring about change. Features Provides accessible and compact coverage on the many uses AI in Earth Science. Covers AI, Deep Learning, and causal modeling concepts in an easy-to-understand language. Contains a chapter on Generative AI and its specific strengths and challenges. Includes descriptions of computer hardware for AI and where it is headed. Offers a companion website with regularly updated content. This book is an excellent resource for researchers, academics, graduate, and senior undergraduate students in Earth Science and Environmental Science and Engineering, who wish to learn how AI and ML can benefit them, its potential applications, and capabilities.

Название: A-Z Code Python Projects
Автор: Sriphagaarucht Srinhichaarnun, Rachanee Kalayavinai
Издательство: Independently published
Год: 2024
Страниц: 208
Язык: английский
Формат: epub
Размер: 10.1 MB

Readers will be introduced to four types of projects developed with Python so that readers can practice and adapt them for their own work. Some examples only allow you to edit fonts for Python development in non-English countries. Readers should have basic knowledge in writing Python or read “A-Z in Python” textbook and practice following it before starting to read this textbook. Readers will be introduced to four types of projects developed with Python so that readers can practice and adapt them for their own work. A brief description of the four types of projects is as follows. Project 1 Game: In this project, readers will use the Pygame package to develop a 2D game that lets players shoot alien ships to explode. Project 2 Web Application: In this project, reader will be able to use the Django package to easily develop a Web Application. Project 3 Data Analysis: In this project, readers will learn how to use beautiful and functional data visualization using Matplotlib and Pygal in a way that can be used for data analysis which is very useful in research. Project 4 Artificial Intelligence (AI): In this project, readers will learn about Artificial Intelligence using Matplotlib, Scipy, Scikit-learn, Numpy package and Python development tools.

Название: A-Z in Python
Автор: Sriphagaarucht Srinhichaarnun, Rachanee Kalayavinai
Издательство: Independently published
Год: 2024
Страниц: 227
Язык: английский
Формат: epub
Размер: 10.1 MB

Readers will be able to learn the basic of Python programming. Some examples only allow you to edit fonts for Python development in non-English countries. Creating a foundation for general programming languages, which is applicable for programming in any language. Python is a popular programming language created by Guido van Rossum and launched in 1991. It can be used to build web applications, servers, in combination with other software to create workflows, connect to a relational database system that uses Structured Query Languages (SQLs) such as Oracle, DB2 or MySQL, as well as connect to non-relational database systems (NoSQL) such as MongoDB. This is explained in detail in the Advanced Python Programming Textbook. Python is an object-oriented programming language. Readers will learn to create classes (with method or attributes), objects and relationships between classes (Inheritance, Association, Composition, and Aggregation).

Название: Artificial General Intelligence
Автор: Julian Togelius
Издательство: The MIT Press
Год: 2024
Страниц: 238
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

How to make AI capable of general intelligence, and what such technology would mean for society. Artificial Intelligence (AI) surrounds us. More and more of the systems and services you interact with every day are based on AI technology. Although some very recent AI systems are generalists to a degree, most AI is narrowly specific; that is, it can only do a single thing, in a single context. For example, your spellchecker can’t do mathematics, and the world's best chess-playing program can’t play Tetris. Human intelligence is different. We can solve a variety of tasks, including those we have not seen before. In Artificial General Intelligence, Julian Togelius explores technical approaches to developing more general Artificial Intelligence and asks what general AI would mean for human civilization. Togelius starts by giving examples of narrow AI that have superhuman performance in some way. Interestingly, there have been AI systems that are superhuman in some sense for more than half a century. He then discusses what it would mean to have general intelligence, by looking at definitions from psychology, ethology, and Computer Science. Next, he explores the two main families of technical approaches to developing more general Artificial Intelligence: foundation models through self-supervised learning, and open-ended learning in virtual environments. The final chapters of the book investigate potential Artificial General Intelligence beyond the strictly technical aspects. The questions discussed here investigate whether such general AI would be conscious, whether it would pose a risk to humanity, and how it might alter society.

Название: Platform Engineering: A Guide for Technical, Product, and People Leaders
Автор: Camille Fournier, Ian Nowland
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 361
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Until recently, infrastructure was the backbone of organizations operating software they developed in-house. But now that cloud vendors run the computers, companies can finally bring the benefits of agile custom-centricity to their own developers. Adding product management to infrastructure organizations is now all the rage. But how's that possible when infrastructure is still the operational layer of the company? This practical book guides engineers, managers, product managers, and leaders through the shifts that modern platform-led organizations require. You'll learn what platform engineering is—and isn't—and what benefits and value it brings to developers and teams. You'll understand what it means to approach a platform as a product and learn some of the most common technical and managerial barriers to success. Finally, this book is really for anyone interested in learning how to make platform engineering work beyond the technical implementation details. Whether you are at a startup wondering when to start, a big company thinking about moving from infrastructure engineering to platform engineering, or anywhere in between, this book is for you.

Название: Тестирование черного ящика. Технологии функционального тестирования программного обеспечения и систем
Автор: Борис Бейзер
Издательство: Питер
Год: 2004
Формат: pdf
Страниц: 321
Размер: 23 Mb
Язык: Русский

Книга доктора Бейзера "Тестирование черного ящика" давно была признана классическим трудом в области поведенческого тестирования разнообразных систем. В ней глубоко рассматриваются основные вопросы тестирования программного обеспечения, позволяющие отыскать максимум ошибок при минимуме временных затрат. Чрезвычайно подробно излагаются основные методики тестирования, покрывающие все спектры аспектов разработки программных систем. Методичность и широта изложения делают эту книгу незаменимым помощником при проверке правильности функционирования программных решений.
Книга предназначена для тестировщиков программного обеспечения и программистов, стремящихся повысить качество своей работы.

Название: Genomics at the Nexus of AI, Computer Vision, and Machine Learning
Автор: Shilpa Choudhary, Sandeep Kumar, Swathi Gowroju, Monali Gulhane, R. Sri Lakshmi
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 540
Язык: английский
Формат: pdf (true)
Размер: 36.8 MB

Genomics at the Nexus of AI, Computer Vision, and Machine Learning explores the in-depth process of how AI and Machine Learning algorithms extract genomic data. The main goal is to help readers understand the dynamic intersection between genomics and cutting-edge technologies. This book aims to provide a roadmap for navigating genomics with developments in Artificial Intelligence (AI) to open up new research ideas to detect and analyze genetic patterns using Computer Vision methods. This book encompasses a wide range of topics, starting with an introduction to genomics data and its unique characteristics. Each chapter unfolds a unique facet, delving into the collaborative potential and challenges that arise from advanced technologies. It explores image analysis techniques specifically tailored for genomic data. With this resourceful data, research enables the detection and analysis of genetic patterns using Computer Vision methods. Furthermore, the dedicated research from contributors offers insights and knowledge to genomic research that seeks to explore the mysteries of life through the lens of interdisciplinary collaboration.

Название: Introduction to Microstation VBA: Microstation Connect Edition
Автор: Saeed Murray
Издательство: Independently published
Год: October 6, 2024
Страниц: 266
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

This book provides a comprehensive guide to automating tasks in MicroStation using Visual Basic for Applications (VBA). Whether you are new to programming or an experienced MicroStation user looking to enhance your workflows, this book offers a step-by-step approach to mastering VBA in the MicroStation environment. Starting with the basics of the VBA IDE, variables, and code structure, the book guides you through fundamental programming concepts before diving into MicroStation-specific tasks. You'll learn how to create and manipulate elements, automate drawing processes, and interact with external applications like Excel for data import/export. Through practical projects, and case studies, this book ensures that you gain hands-on experience with VBA in MicroStation. Whether you’re automating simple workflows or tackling complex design problems, this guide will equip you with the tools you need to become proficient in VBA programming for MicroStation. By the end of the book, you will have developed a solid foundation in VBA, with the ability to create custom applications, automate design processes, and significantly improve your efficiency within MicroStation. This book is a valuable resource for MicroStation users, CAD professionals, and engineers looking to harness the full power of VBA for automating tasks and enhancing their design workflows.

Название: Effect Oriented Programming : A Paradigm for Creating Reliable, Adaptable, Testable Systems - Using Scala and ZIO
Автор: Bill Frasure, Bruce Eckel, James Ward
Издательство: Leanpub
Год: 2024-09-17
Страниц: 147
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB

Have you wondered what makes functional programming such a big deal, but haven't been able to get through any of the explanations? We wrote this book for you. Effects are the unpredictable elements in your programs. Concerns like network communication or user interaction might seem easy, but they are devilishly difficult to get right. The pristine world of algorithms devolves into the gory reality of failures and inconsistency. Traditionally, we've coped with Effects incompletely and often unwittingly. Programs have been difficult to build, adapt, and maintain. Discover a groundbreaking approach to software development using Effect Systems to control the unpredictable elements in your systems. We focus on practical techniques you can apply immediately, making complex concepts accessible to all developers. You'll learn resilient system development in a straightforward, pragmatic way, using simplified code examples and clear explanatory prose. Effect Oriented Programming is a new paradigm for programming with Effect Systems. Since Effect Systems are a new and emerging paradigm, you have limited choices. Many programming languages do not have an Effect System. Some languages have built-in support for managing Effects, while others have support through libraries. New languages that incorporate Effect Systems include OCaml, Unison, and Roc. In this book, we focus on the concepts of Effect Systems, rather than language and library specifics. We use Scala 3, which has several Effect System libraries including ZIO, Cats Effects, and Kyo. These libraries (and others) contributed to our understanding of Effect Systems. This is not a book about ZIO. You do not need experience or understanding of ZIO to understand the code in this book. For this book, ZIO is only a means to understand Effect Systems. If you use a different language, the concepts of Effect Systems may only be useful when your language or a library supports them.

Название: Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications
Автор: Shubham Mahajan, Pethuru Raj, Amit Kant Pandit
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 46.6 MB

“Deep Reinforcement Learning and its Industrial Use Cases: Harnessing AI for Real-World Applications” is an essential guide that supplies complex theories, practical insights, and diverse case studies behind deep reinforcement learning. This book offers a comprehensive look into how DLR is revolutionizing fields by implementing advanced algorithms in a variety of industries to solve real-world problems. Beyond the realm of successes of DLR, it critically examines challenges, pitfalls, and ethical considerations. This research and knowledge explore insights to meet the needs of curious enthusiasts eager to understand the cutting-edge technology shaping our future. Throughout the pages of this book, we seek to discover the inner workings of DLR and its real-world applications. We start by laying down the foundational principles of reinforcement learning and building up to advanced DLR algorithms and techniques. Along the way, we delve into diverse case studies, examining how leading organizations harness the power of DLR to drive innovation and gain a competitive edge. From financial trading to autonomous manufacturing systems, each case study offers valuable insights into the practical considerations and challenges involved in deploying DLR solutions. Deep reinforcement learning is a Machine Learning subfield that deals with teaching agents to make successive decisions in a given environment in order to maximize a cumulative reward. DRL algorithms approximation rules or function values with neural networks, allowing agents to learn sophisticated behaviors directly from raw sensory input.